Real recommendations, not a guess
Every "Research this company," "Launch this campaign," or "Review paused recipients" comes from a real rule over data already collected — never an invented confidence score dressed up as intelligence.
AI Sales Assistant
StarlineSales now recommends what to do next — built entirely from real data every other milestone already collected, never a new AI call pretending to be intelligence a database query already has honestly.
Every "Research this company," "Launch this campaign," or "Review paused recipients" comes from a real rule over data already collected — never an invented confidence score dressed up as intelligence.
Companies researched, Buyer Intelligence reports completed, messages approved, emails sent — yesterday, exactly as they happened. Today's plan is the same Recommendations Engine, restated.
Every "something is happening here" signal already computed by Website Intelligence, Buyer Intelligence, and Relationship Intelligence, ranked in one place — no new detection, only orchestration.
Companies, people, campaigns, and tasks — one search bar, real results. A small, real command grammar ("pause campaign X") executes exactly what it says, nothing more.
One AI Copilot panel, on the Company Workspace, answering only from what is already known about that one company — never a platform-wide chat pretending to remember a conversation it has not had.
"Research this company" is true because no research row exists for it — a fact a database already knows perfectly, for free, instantly. Asking a model to notice the same thing would cost real money and real latency to answer a question SQL already answers honestly. The one place an AI call genuinely earns its cost is Ask Starline, where the question is open-ended and the answer needs real reasoning — and that is the one AI Assistant feature that makes one.
Stated plainly, the same way every capability page on this site states its own gaps.
Ask Starline is scoped to the Company Workspace today, where the context to answer honestly already exists. A platform-wide assistant is real, separate future work — not built by stretching one page's context to every page.
Recommendations are computed fresh on every page load from real, current data — there is no "mark as read" state yet, so a recommendation you have already acted on simply stops appearing once the underlying fact changes.
The command palette recognises a small, real, named set of verbs — see Sales Mission Control for the full account of what it does and does not attempt.
Log in and the Dashboard already knows what to work on first.
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